The FDD engine employs Machine-Learning (ML) algorithms on data streams pulled from equipment-level controllers and sensors. The FDD engine’s actionable insights result in increased system reliability as well as substantial energy and maintenance cost savings.

The OptiNergy™ optimization engine dynamically adjusts the building’s electro-mechanical system parameters, using proprietary patent-pending algorithms in order to meet changing environmental conditions and operational requirements.

This responsiveness, as opposed to the widespread static mode of operation, leads to substantial energy and operational cost reduction.